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uncertainty quantification

1365 papers

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Also known as

UQ

Co-occurring keywords

uncertainty estimation (639) bayesian inference (1904) large language model (12755) conformal prediction (208) gaussian process (1198) variational inference (2069) out-of-distribution detection (611) epistemic uncertainty (156) neural network (6616) bayesian neural network (201)

Papers

An Analytic Solution to Covariance Propagation in Neural Networks AISTATS 2024
Decentralized Multi-Robot Line-of-Sight Connectivity Maintenance under Uncertainty RSS 2024
Typicalness-Aware Learning for Failure Detection NIPS 2024
SEL-BALD: Deep Bayesian Active Learning with Selective Labels NIPS 2024
OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments AAAI 2024
Probabilistic Calibration by Design for Neural Network Regression AISTATS 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation AAAI 2024
Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models CVPR 2024
Calibration-Tuning: Teaching Large Language Models to Know What They Don’t Know EACL 2024
Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data AAAI 2024
Verifiably Robust Conformal Prediction NIPS 2024
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? EACL 2024
GaussianMarker: Uncertainty-Aware Copyright Protection of 3D Gaussian Splatting NIPS 2024
SPUQ: Perturbation-Based Uncertainty Quantification for Large Language Models EACL 2024
Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NIPS 2024
Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees NIPS 2024
Halu-NLP at SemEval-2024 Task 6: MetaCheckGPT - A Multi-task Hallucination Detection using LLM uncertainty and meta-models SEMEVAL 2024
Conformal Prediction Regions for Time Series Using Linear Complementarity Programming AAAI 2024
UQ-Guided Hyperparameter Optimization for Iterative Learners NIPS 2024
Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities NIPS 2024
Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks NIPS 2024
Conformal Contextual Robust Optimization AISTATS 2024
Hyper-opinion Evidential Deep Learning for Out-of-Distribution Detection NIPS 2024
Investigating the Impact of Model Instability on Explanations and Uncertainty ACL 2024
Similarity-Navigated Conformal Prediction for Graph Neural Networks NIPS 2024